Research Scientist In Vitro Pharmacology

present of AI; Cambridge (MA); On-site; USD 95,000 - 140,000; Full time

Job summary

Deep Genomics is seeking a researcher to run cell-based experiments to assess RNA-targeting medicines and their effect on liver disease biology. You will work with cell culture, including co-culture and 3D liver models, linking molecular readouts to biological outcomes and clearly explaining results to help teams decide next steps.

The role emphasizes careful experimental design, interpretive rigor, and collaboration with data scientists to align lab results with AI-driven design.

Qualifications

• Hands-on cell culture experience, including co-culture and 3D liver models.
• Ability to link molecular readouts to disease biology outcomes.
• Strong ability to communicate results for decision-making.

Responsibilities

• Design and run cell-based experiments to test RNA-targeting medicines in liver models.
• Interpret data to inform which approaches should move forward.
• Explain results clearly to multi-disciplinary teams.

Skills

Cell culture

Co-culture

3D liver models

RNA editing

siRNA studies

Job description

The role centers on running cell-based experiments that show whether RNA-targeting medicines, such as RNA editing and siRNA, actually change disease biology in the liver. A strong candidate has hands-on skill with cell culture, including co-culture and three-dimensional liver models, and can link molecular readouts to biological outcomes. They also explain results clearly so teams can decide which approaches move forward. The posting does not state a years-of-experience figure, so the level is an estimate.

How it fits the AI era

AI helps the company pick targets and design candidate molecules, but those predictions only matter once they are tested in real cells. This role supplies that evidence, and the lab results also teach the models what works. Careful experimental design, sound judgment about messy biology, and honest interpretation of results stay human work.

How it builds AI experience

Someone in this role would see how a platform built on machine learning and RNA biology feeds designs into the lab and uses lab data in return. Building experience means learning to structure assay data cleanly, working with data scientists on what to measure, and getting comfortable reading model predictions critically against experimental results.

Worth showing

• Co-culture and 3D assays
• RNA editing or siRNA studies
• Linking assays to outcomes

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Deep Genomics

Deep Genomics develops biological foundation models and artificial intelligence architectures to discover and design genetic medicines.